Fakulta elektrotechniky a informatiky STU vás s radosťou pozýva na prvý ročník podujatia Týždeň AI na FEI STU, ktoré sa uskutoční v dňoch 8. - 10.10. 2024. Počas troch dní budete mať možnosť zúčastniť sa na siedmich prednáškach týkajúcich sa umelej inteligencie a jej aplikácií v rôznych oblastiach vedy a techniky.Harmonogram prednášok:
| utorok 8.10. - AB300 |
Umelá inteligencia: | |
| 15:00 | Stredisko pre projekty FEI STU | vo vzdelávaní |
| 15:45 | doc. Haffner | v praktických aplikáciách |
| 16:30 | Sekaj & Zúbek | |
| streda 9.10. - AB150 |
||
| 15:00 | prof. Igor Jurisica | Reducing Imprecision in Precision Medicine by Integrating “Big Data”, AI and Computational Biology |
| štvrtok 10.10. - AB150 |
Umelá inteligencia: | |
| 15:00 | prof. Pavlovičová & MUDr. Kurilová | v oftalmológii |
| 15:45 | Ing. Šebeňa | ... ako ju vytvárame a ako pri nej nezhlúpnuť |
prof. Jurisica - Reducing Imprecision in Precision Medicine by Integrating “Big Data”, AI and Computational Biology
- prednáška bude v slovenskom jazyku.
Anotácia:
Integrative computational biology and AI help improving treatment of complex diseases by building explainable models. From systematic data curation and analysis to improved biomarkers, drug mechanism of action, and patient selection, such analyses influence multiple steps of drug discovery pipeline. Data mining, machine learning, graph theory and advanced visualization help characterize interactome and drug "orphans" with accurate predictions, making disease modeling more comprehensive and interpretable. Intertwining computational prediction and modeling with biological experiments and preclinical studies will lead to more useful findings faster and more economically. It is a path for patient-centric, precision medicine.
Kto je prof. Igor Jurisica?
Igor Jurisica, PhD, DrSc, is a Senior Scientist at Osteoarthritis Research Program, Schroeder Arthritis Institute, and Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, Professor at University of Toronto, and Visiting Scientist at IBM CAS. Since 2015, he has served as Chief Scientist at the Creative Destruction Lab, Rotman School of Management, and since 2021, he has been the scientific director of the World Community Grid.
